Query Processing is the process of query term weight calculation, query augmentation, query context defining, and more. Query understanding and Query clustering are related to Information Retrieval tasks for the search engines. To provide a better search engine optimization effort and project result, the organic search performance optimizers need to implement query processing methodologies. Digital marketing and SEO are connected to each other. Understanding a query includes query parsing, query rewriting, question generation, and answer pairing. Multi-stages Query Processing, Candidate Answer Passages, or Candidate Answer Passages and Answer Term Weighting are some of the concepts from the Google Search Engine to parse the queries. The presentation of The Secret Life of Queries, Parsing, Rewriting & SEO has been presented at the Brighton SEO Event in April 2022. The event speech focused on explaining the theoretical SEO and practical SEO examples together. Query Processing methodologies are beyond synonym matching or synonym finding. It involves multiple aspects of the words, and meanings of the words. The theme of words, the centrality of words, attention windows, context windows, and word co-occurrence matrices, GloVe, Word2Vec, word embeddings, character embeddings, and more. Themes of words contain the word probability like in Continues Bag of Window. The search engine optimization community focuses on keyword research by matching the queries. Query processing involves query word order change, query word type change, query word combination change, query phrase synonym usage, query question generation, query clustering. Query processing and document processing are correlational. Query processing is to understand a query while document processing is to process a web document. Both of the processes are for ranking algorithms. Providing a better ranking algorithm requires a better query understanding. And providing better rankings as SEOs require better search engine understanding. Thus, understanding the methods of query processing is necessary. Search Query Processing is implementing the query processing for thesearch engines. Search query refers to the phrase that search engine users use for searching. Search intent understanding and search intent grouping are two different things. But, query templates, questions templates, and document templates work together. Search query is for organic search behaviors. A web search engine answers millions of queries every day. Search query processing is a fundamental task for search engine optimization and search engine result page optimization. The "Semantic Search Engine: Query Processing" slides from Koray Tuğberk GÜBÜR supported the presentation of "Search Query Processing: The Secret Life of Queries, Parsing, Rewriting & SEO". The presentation has been created by Dear Rebecca Berbel. Many thanks to the Google engineers that created the Semantic Search Engine patents including Larry Page.
A look at search-related patents from Google that people who do SEO may be interested in learning about
This document summarizes how Google search results are evolving to include more semantic data through direct answers, structured snippets, and rich snippets. It provides examples of direct answers being extracted from authoritative sources using natural language queries and intent templates. It also discusses how including structured data like tables, schemas, and markup can help search engines understand and display page content in a more standardized way. While knowledge-based trust is an interesting concept, current search ranking still primarily relies on link analysis and does not consider factual correctness.
Bill Slawski presented a webinar on analyzing patents related to search engines and SEO. He discussed 12 Google patents covering topics like PageRank, Google's news ranking algorithm, analyzing images to detect brand penetration, and building user location history. The patents described Google's work in building knowledge graphs from web pages, ranking entities in search results, question answering, and determining quality visits to local businesses.
The document describes a Python script that can automatically generate new subcategories for an ecommerce website based on clustering product names. It discusses: - Using NLTK to generate n-grams from product names to cluster related products - Filtering the n-grams to keep only those with commercial value by checking for search volume and CPC data - Running the script on a large home improvement site to identify over 1,650 new subcategory opportunities with a total search volume of over 13 million - Sharing the script so others can automate subcategory identification for their own sites to scale up an important SEO tactic.
What percentage of an Inbound marketer's day doesn't involve working with spreadsheets? How much of this work is time-consuming and repetitive? In this interactive session, you will learn how to manipulate Google Sheets to automate common data analysis workflows using Python, a very easy to use programming language.
1) Google uses various techniques to extract structured information like entities, relationships, and properties from unstructured text on the web and databases. This extracted information is then used to generate knowledge graphs and provide augmented responses to user queries. 2) One key technique is to identify patterns in which tuples of information are stored in databases, and then extract additional tuples by repeating the process and utilizing the identified patterns. 3) Google also extracts entities from user queries and may generate a knowledge graph to answer questions by providing information about the entities from sources like its own knowledge graph and information extracted from the web.
This document discusses digital marketing strategies focused on establishing authority through valuable, timeless content. It recommends creating content such as articles, videos, and academic papers on topics that will remain relevant for years to establish expertise. Creating a steady stream of high-quality content over time builds an online presence and credibility without major risks of losses, and may lead to job offers, clients, or other opportunities. It provides examples of interactive dashboards and open-source software that gained popularity and users by continuously publishing improvements and documentation without needing to rely on things like resumes or company profiles.
Google Lighthouse is super valuable but it only checks one page at a time. Hamlet will show you how to get it to check all pages of a site, and how to run automated Lighthouse checks on-demand at scheduled intervals and from automated tests. He'll also cover how to set performance budgets, how to get alerts when budgets are exceeded, and how to aggregate page reports using BigQuery and Google Data Studio.
Avoid the most common SEO issues, challenges and mistakes by going through this presentation with tips, criteria and tools to use independently of your online store Web platform, and grow your organic search results
This document discusses internal linking strategies and techniques. It begins by explaining the benefits of connecting entities within content, rather than just words, and translating those connections into internal links. It then provides an overview of technologies like PageRank, the reasonable surfer algorithm, topical PageRank, chunking, and natural language processing that search engines use to understand contexts and how those ideas can be applied to internal linking at scale. Specific options for approaches to internal linking existing pages are also outlined.
Google's search results now include entities and concepts. Entities refer to people, places, things, and 20-30% of queries are for name entities. Google uses meta data like Freebase to build a taxonomy of entities and their relationships. This supports features like the Knowledge Graph, which provides information panels, and allows querying of nearby entities which may soon be available in search results.
This document provides SEO metrics and comparisons for the website hangikredi.com over several time periods between April 2019 and September 2019. It shows substantial increases in key metrics like organic traffic, clicks, impressions, and average position after Google algorithm updates in May, June, July, and September. However, it also shows significant drops in these metrics during a server outage in early August. Overall the data demonstrates the site's strong SEO performance and organic growth over the 6-month period analyzed.
This document provides an overview of entity SEO, including: - What an entity is and why entity SEO is important as search engines have evolved from information engines to knowledge engines - How search algorithms like Panda, Penguin, and Hummingbird helped drive this transition by prioritizing high-quality content over low-quality sites - Techniques for entity SEO including entity research, topical maps, schema, internal linking, and case studies - Tools like Google's Knowledge Graph that can help with entity research and understanding how entities are ranked
This document discusses how log file insights can help companies improve their crawling, indexing and organic marketing performance. It outlines some of the common issues companies face like not understanding search engine behavior and not reflecting on their past work. With log file insights accessible in real-time and automatically distilled, companies can answer critical questions to speed up their crawl times, see how search engines are handling their updated content and troubleshoot issues. The presenter promotes their solution, ContentKing, which provides real-time log file analysis from CDN logs to help companies learn what search engines know and keep sharpening their SEO strategies.
This document discusses the value and uses of hyperlinks. It explains that hyperlinks can help understand a person's influence, interests, and peers. Hyperlinks also allow you to find influencers around a topic or identify the authors of a news site. The key takeaway is that having access to true link data and understanding how to analyze link information can provide new insights.
This is a guide for machine learning for beginners, tailored to the SEO industry, aimed at breaking down the challenges that hold us back from experimenting, the breakdown of machine learning's main characteristics to help us understand how to implement it a bit better, and the ways we can embed advanced technology into our daily practice.
Whilst passage indexing may seem like a small tweak to search ranking, it is potentially much more symptomatic of the beginning of a fundamental shift in the way that search engines understand unstructured content, determine relevance in natural language, and rank efficiently and effectively. It could also be a means of assessing overall quality of content and a means of dynamic index pruning. We will look at the landscape, and also provide some takeaways for brands and business owners looking to improve quality in unstructured content overall in this fast changing landscape.
This document contains the tweets from a presentation about optimizing forums for SEO. Some of the key points discussed include: - Using logical and consistent URL paths to improve crawling and trust. - Improving user experience through good internal linking, navigation and search. - Maintaining high quality content through moderation, relevance and preventing spam/duplicate content. - Building authority through links to expert user profiles and published work.
Oliver Brett's BrightonSEO talk on how you can improve user trust of your site via UX tweaks. Provided by Screaming Frog.
Matt Ford, Customer Success Manager at DeepCrawl was at Digitalzone Meetups on 24 April 2018 and his presentation was title "Your Search Universe".
Your Brand = An Entity .(and your most valuable asset). It Has Relationships With other entities. Entities and Relationships = Understanding. So… Brands Need to Leverage Entities and Relationships to Build ‘Understanding’
Understanding and diagnosing indexation issues is vital to SEO success, but until very recently, getting good data was nearly impossible. Google’s newly-introduced URL Inspection API opens a new world of possibilities for tracking indexation. In this talk, Simon explores how to leverage this data to monitor status, spot changes, and catch issues in realtime — no coding required!
The slides from the, what can I call it, lecture? Oh yeah. It was at a college, I'm going with lecture. The slides from my 2nd LECTURE at City of Bath College in January 2015
Contrary to what many believe, about SEO, adding simple keywords to your website content will not do the trick. Robin demonstrates how to boost web pages in Google, Yahoo and other search engines.
This document outlines a 4-step process for conducting a Core Web Vitals audit: 1) Benchmark key pages by measuring LCP, FID, and CLS metrics, 2) Investigate audit results to understand issues, 3) Test optimization changes and re-measure metrics, 4) Prioritize fixes based on impact and effort required. The goal is to identify opportunities to improve load performance and user experience.
SEO for Visibility, Action & Conversion (2011): An updated SEO presentation to include information about Google Mayday, Google Panda, Bing Business Portal & other changes. Presented by Kevin Mullett for Cirrus ABS on April 14th 2011 at the Norhteast Indiana Innovation Center in Fort Wayne Indiana. 11 action steps to better SEO with information on organic SEO, how social media works with SEO, online reputation management, click through, improving visibility in search, and much more.
The Search Engine Experience 2.0 - U of U MBA. This is a presentation I gave for some MBA - digital marketing students at the David Eccles School of Business at the University of Utah in Salt Lake City on October 20, 2014. The presentation is on "The Search Engine Experience 2.0" which covers the history of Google, Inc., Search Engine Optimization, On-Page SEO, Off-Page SEO, Performance Optimization, Page Rank and Domain Authority. You can also view this slide on my website --> http://www.clarktbell.com/
How to configure and optimize your WordPress website for SEO using plugins, tools, and other tips that will help the crawl-ability and performance of your site.
Key reasons why optimising your internal web search is essential for SEO and a proven method to get it right, grow traffic, improve conversion and improve UX.
Key reasons why optimising your internal web search is ESSENTIAL for SEO and a proven method to get it right, grow traffic, improve conversion and improve UX. Presentation delivered as part of Search Leeds 2018 at the First Direct Arena.